87 citations · 191 across the 5 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2020
Isometric Graph Neural Networks
Matthew Walker, Bo Yan, Yiou Xiao +2
Many tasks that rely on representations of nodes in graphs would benefit if those representations were faithful to distances between nodes in the graph. Geometric techniques to ext…
cs.LG2019★ 79 cited
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Ling Cai, Bo Yan, Gengchen Mai +2
Link prediction is an important and frequently studied task that contributes to an understanding of the structure of knowledge graphs (KGs) in statistical relational learning. Insp…
cs.LG2019★ 10 cited
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs
Gengchen Mai, Krzysztof Janowicz, Bo Yan +3
Recently, several studies have explored methods for using KG embedding to answer logical queries. These approaches either treat embedding learning and query answering as two separa…